Title :
A survey and performance evaluation on sliding window for data stream
Author :
Wang Bao-Jun ; Ying, Zhan
Author_Institution :
Inst. of Inf. Technol., Zhejiang Inst. of Commun., Hang Zhou, China
Abstract :
Sliding window technology for data streams is widely used to finish the data stream sampling. In this paper, rewritable circular sliding window, ring circular sliding window and sliding window based vector model are introduced. Experimental results show that rewritable circular sliding window is faster than sliding window based on vector model. But the speed advantage is slackening up, with the increasing of sliding window. Data stream sampling based on ring circular sliding window is the fastest. With the change of sliding window, the speed is smooth. Experimental results show that the data stream sampling model based on ring circular sliding window is proper for the migration and mining of data stream.
Keywords :
data handling; data mining; software performance evaluation; data stream migration; data stream mining; data stream sampling; performance evaluation; rewritable circular sliding window based vector model; ring circular sliding window based vector model; Analytical models; Data Stream; Performance Evaluation; Sliding Window;
Conference_Titel :
Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-61284-485-5
DOI :
10.1109/ICCSN.2011.6014977